Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places.

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Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places.
Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places.
The final exam score for a student who scored 64 on the midterm is
Transcribed Image Text:Predict the final exam score for a student who scored 64 on the midterm. Round the answer to at least two decimal places. The final exam score for a student who scored 64 on the midterm is
Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a
final exam from the score on a midterm exam.
The regression equation is
Final = 24.2765 + 0.71025 Midterm
Predictor
Coef
SE Coef
P
Constant 24.2765 4.39726 5.521
0.000
Midterm 0.71025 0.14001
5.073
0.000
Part 1 of 2
Write the equation of the least-squares regression line. Use the full accuracy shown in the MINITAB output (do not round
your answers).
Regression line equation: y= 24.2765+0.71025x
Transcribed Image Text:Interpreting technology: The following MINITAB output presents the least-squares regression line for predicting the score on a final exam from the score on a midterm exam. The regression equation is Final = 24.2765 + 0.71025 Midterm Predictor Coef SE Coef P Constant 24.2765 4.39726 5.521 0.000 Midterm 0.71025 0.14001 5.073 0.000 Part 1 of 2 Write the equation of the least-squares regression line. Use the full accuracy shown in the MINITAB output (do not round your answers). Regression line equation: y= 24.2765+0.71025x
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